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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20126
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    Explanations

    words related to integration or incorporation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to integration and embedding in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uku
    -0.79
    trak
    -0.77
    rimp
    -0.75
    apest
    -0.72
    STAR
    -0.71
    ircraft
    -0.70
    riz
    -0.68
    trap
    -0.67
    UP
    -0.64
    awn
    -0.63
    POSITIVE LOGITS
     academia
    0.89
     society
    0.79
     somew
    0.76
     adulthood
    0.74
     civilisation
    0.72
     layers
    0.71
     humanity
    0.70
     adolescence
    0.68
     realms
    0.67
    theme
    0.66
    Activations Density 0.317%

    No Known Activations